`fit_quality()` returns group-level quality information for successful fits. `fit_failures()` returns failed group/model combinations as data.
Examples
data(multi_isolate)
fit <- estimate_EC50(
growth ~ dose,
data = subset(multi_isolate, isolate %in% 1:3 & fungicida == "Fungicide A"),
isolate_col = "isolate",
strata_col = "field",
fct = drc::LL.3()
)
fit_quality(fit)
#> ID field model fit_status n_obs n_doses dose_min dose_max response_min
#> 1 1 Organic LL.3 ok 35 7 0 1 0.07631550
#> 2 2 Conventional LL.3 ok 35 7 0 1 1.24394259
#> 3 3 Organic LL.3 ok 35 7 0 1 0.06118528
#> response_max message
#> 1 20.66667 <NA>
#> 2 20.75420 <NA>
#> 3 20.78938 <NA>
fit_failures(fit)
#> [1] ID field model message
#> <0 rows> (or 0-length row.names)
